Session 7· 10 questions

End-of-session Quiz

What you'll learn

▸Confirm you can distinguish chains, workflows, and agents
▸Verify you know the 5 workflow and 5 multi-agent patterns
▸Prove you can apply the decision framework to real scenarios
▸Score 8+ out of 10 to move on to Session 8

10 questions covering everything from this session. Each explanation references the lesson where you can review the topic. Aim for 8+ before moving on.

Fundamentals

Knowledge Check

What is the key difference between a workflow and an agent?

Knowledge Check

A pipeline that always runs: classify, extract, summarize, save. No branching. What pattern is this?

Workflow patterns

Knowledge Check

One LLM generates code and another runs tests against it, looping until tests pass. Which workflow pattern?

Knowledge Check

You need to analyze a document for sentiment, entities, and topics simultaneously. Which workflow pattern?

Multi-agent patterns

Knowledge Check

What is the #1 reason to split a single agent into multiple agents?

Knowledge Check

Agents pass control sequentially in a conversational flow (triage then specialist then billing). Which multi-agent pattern?

Performance & decisions

Knowledge Check

For repeat queries in the same domain, which pattern typically uses the fewest LLM calls?

Knowledge Check

Question 1 of the decision framework asks: 'Can a single agent with well-chosen tools solve this?' Your agent has 7 tools and works well. What should you do?

Real-world application

Knowledge Check

A large company has HR, Finance, and IT teams each wanting their own agent. They need a unified chatbot. Which pattern?

Knowledge Check

The BookingAgent capstone project uses a single agent with tools. Why is multi-agent not needed?

Scored 8+ out of 10?

You are ready for Session 8, where you will build these patterns for real with LangChain code. If you missed more than 2, revisit the matching lessons (each explanation points to the right one) and try again.